This project aims to design a suite of algorithms that can predict what would otherwise be unexpected truck breakdowns and their root causes. These algorithms will make use of data generated during normal truck operations, particularly related to the engine, brake and tire subsystems.
Sasha Kucharczyk, COO and Co-Founder, Preteckt: “Preteckt is excited to develop new diagnostic tools which will enable more relevant and precise maintenance operations which will limit unexpected breakdowns and further improve the reliability of trucks while reducing operating costs.”
“Unexpected truck breakdowns have significant impacts on our operations and customer service. Beyond repair costs, managing transport reorganization and delays requires time and energy that bring no added value to our customers."— Ken Trickey, Director of Innovation and Integration, Trimac Transportation